Monitoring of distributed parameter systems based on a sensor network and ANFIS

This paper gives some estimation algorithms and a method for monitoring distributed parameter systems based on sensor networks and the adaptive-network-based fuzzy inference scheme. The modern intelligent sensor networks may be seen as distributed sensors, which may be placed in the field of the distributed parameter systems. ANFIS, as a method for non-linear system identification, is a powerful tool to estimate future behavior in distributed parameter systems, from acquired data obtained using wireless sensor connected in a distributed network placed in the field. The algorithms are based on non-linear auto-regression exogenous models. A case study of temperature flow for a parabolic equation is analysed, based on these approaches.